研究目的
Investigating the validation of a convolution integral for conductivity imaging using a single-coil system in magnetic induction tomography.
研究成果
The convolution integral provides a viable tool for tomographic reconstruction of electrical conductivity distributions, especially when column diameter is greater than or equal to coil diameter. However, contrast errors may arise in cases of extreme relative permittivity changes.
研究不足
The study assumes spatially uniform permittivity and permeability, which may not hold in all practical scenarios. The convolution integral's accuracy is compromised when column diameter is less than coil diameter due to large permittivity changes across coil dimensions.
1:Experimental Design and Method Selection:
The study employs a single-coil system for magnetic induction tomography to validate a convolution integral for conductivity imaging. The coil's self-impedance changes are measured at various positions relative to conductive targets.
2:Sample Selection and Data Sources:
Plastic columns of variable diameter filled with salt solutions of varying conductivity are used as targets. Conductivity of each NaCl solution is determined using a Metler Toledo Seven2Go conductivity meter.
3:List of Experimental Equipment and Materials:
A double-layer printed circuit board (PCB) with concentric circular loops, Metler Toledo Seven2Go conductivity meter, PVC columns of various diameters.
4:Experimental Procedures and Operational Workflow:
The coil is placed at known positions relative to the columns, and coil loss is measured. The experiment tests the effect of column diameter and solution conductivity on coil loss.
5:Data Analysis Methods:
Coil loss is computed from a change in the real part of admittance, and the results are compared with theoretical predictions from the convolution integral.
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